Artificial Intelligence Engineer ID87376

AgileEngine, LLC.; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Remote work 100%

Meaningful projects

Collaborative culture

Well-being programs

Job summary

AgileEngine is seeking an Agentic AI Engineer to build generative AI workflows that accelerate cloud configuration and remediation. You will work with RAG, vector databases, and LLM APIs to automate baseline creation and drift detection, generating compliant Terraform modules and Rego policies.

The role requires 4+ years of software engineering on public cloud infra, 2+ years in IaC pipelines, and experience with Agentic models using RAG.

Qualifications

• 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC)
• 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using grasp Retrieval-Augmented Generation (RAG) and Vector databases.
• Proven capability to partner with globally distributed inter-disciplinary engineering teams.

Responsibilities

• AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines.
• Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
• Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

Skills

Software engineering

Cloud infra

IaC

Agentic models

RAG

Vector databases

OpenAI

Anthropic

Tools

Terraform

Rego (OPA)

LangChain

LangGraph

Regula

OpenAI API

Job description

Artificial Intelligence Engineer ID87376

Full time | AgileEngine | India

Posted On 09/03/2026

Job Information

City Bangalore North

State/Province Karnataka

560001

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an Agentic AI Engineer to build generative AI workflows that accelerate cloud configuration and remediation activities. This person uses RAG, vector databases, and LLM APIs to automate baseline creation and drift detection, generating compliant Terraform modules and Rego policies. Cross-team collaboration across distributed engineering groups is essential.

WHAT YOU WILL DO

• AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines


• Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities


• Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

MUST HAVES

• 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.


• 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC)


• 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using grasp Retrieval-Augmented Generation (RAG) and Vector databases.


• Proven capability to partner with globally distributed inter-disciplinary engineering teams

NICE TO HAVES

• Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph).


• Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases


• Hands-on experience with Terraform


• Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform


• Familiarity with PagerDuty, Atlassian Suite, and ServiceNow.

PERKS AND BENEFITS

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget


• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews


• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm


• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands


• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized


• Well-being & support: access local well-being programs and people-focused support tailored to your location